PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 5, 2026npj Climate and Atmospheric Science0 citationsOpen Access

Advancing boundary-layer physics via Doppler wind LiDAR dynamic-thermodynamic profiling

JXJinhong XianHYHonglong YangZQZongxu Qiu

Key Points

  • The aim is to enhance measurements of boundary-layer dynamics and thermodynamics using Doppler wind LiDAR.
  • High-resolution measurements of wind, turbulence, and thermal structure were taken using a Doppler wind LiDAR system.
  • Field applications were conducted in Shenzhen and Beijing to validate the retrieval method.
  • The method captures interactions between turbulence and stability with high accuracy.
  • The Doppler wind LiDAR method resolved stable, convective, and low-level-jet layers accurately.
  • Turbulence-stability interactions were captured with sub-kelvin accuracy, showing significant detail in boundary-layer processes.
  • Findings indicate the conventional wind LiDAR can serve as a dynamic-thermodynamic profiler.

Abstract

Simultaneous, high-resolution measurements of boundary-layer dynamics and thermodynamics remain a longstanding observational challenge. We present a Doppler wind LiDAR–based retrieval that derives virtual potential temperature from TKE-budget buoyancy residuals, enabling concurrent profiling of wind, turbulence, and thermal structure. Field applications in Shenzhen and Beijing demonstrate that the method resolves stable, convective, and low-level-jet layers, capturing turbulence–stability interactions with sub-kelvin accuracy. These findings establish that conventional wind LiDAR can be transformed into a continuous, high-resolution dynamic–thermodynamic profiler for detailed investigation of boundary-layer processes.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Xian et al. (2026) studied this question.

synapsesocial.com/papers/6a72e7c1226790f370656ec0https://doi.org/10.1038/s41612-026-01494-6
Ask AI
Helpful
Bookmark
Share
View Full Paper